1.7k citations · 2k across the 7 of their papers we have counts for
8 papers
Kernel-, mean- and noise-marginalised Gaussian processes for exoplanet transits and inference
Namu Kroupa, David Yallup, Will Handley +1
Using a fully Bayesian approach, Gaussian Process regression is extended to include marginalisation over the kernel choice and kernel hyperparameters. In addition, Bayesian model c…
Bayesian power spectrum estimation at the Epoch of Reionization
Peter H. Sims, Lindley Lentati, Jonathan C. Pober +4
We introduce a new method for performing robust Bayesian estimation of the three-dimensional spatial power spectrum at the Epoch of Reionization (EoR), from interferometric observa…
Planck 2013 results. XXIX. The Planck catalogue of Sunyaev-Zeldovich sources: Addendum
Planck Collaboration, P. A. R. Ade, N. Aghanim +276
We update the all-sky Planck catalogue of 1227 clusters and cluster candidates (PSZ1) published in March 2013, derived from Sunyaev-Zeldovich (SZ) effect detections using the first…
Weak lensing by triaxial galaxy clusters
F. Feroz, M. P. Hobson
Weak gravitational lensing studies of galaxy clusters often assume a spherical cluster model to simplify the analysis, but some recent studies have suggested this simplifying assum…
Bayesian evidence for two companions orbiting HIP 5158
F. Feroz, S. T. Balan, M. P. Hobson
We present results of a Bayesian analysis of radial velocity (RV) data for the star HIP 5158, confirming the presence of two companions and also constraining their orbital paramete…
Detecting extrasolar planets from stellar radial velocities using Bayesian evidence
F. Feroz, S. T. Balan, M. P. Hobson
Stellar radial velocity (RV) measurements have proven to be a very successful method for detecting extrasolar planets. Analysing RV data to determine the parameters of the extrasol…
Use of the MultiNest algorithm for gravitational wave data analysis
Farhan Feroz, Jonathan R. Gair, Michael P. Hobson +1
We describe an application of the MultiNest algorithm to gravitational wave data analysis. MultiNest is a multimodal nested sampling algorithm designed to efficiently evaluate the…
Multimodal nested sampling: an efficient and robust alternative to MCMC methods for astronomical data analysis
Farhan Feroz, M. P. Hobson
In performing a Bayesian analysis of astronomical data, two difficult problems often emerge. First, in estimating the parameters of some model for the data, the resulting posterior…